**Greg Isenberg** (0:00)
How do you become AINative?
In this episode, it is an under 60 minute masterclass for how to become AINative. This is the type of content that people charge tens of thousands of dollars for, but on this channel, we're giving away for free. We're giving it away for free because I believe that people who understand how to become AINative are gonna be able to outperform 99.9% of people on the planet. These are the people that are gonna get raises in an economy where job losses prevail in. These are the people that are gonna actually create the one person, one billion dollar companies. So in this episode, we break it down in the most clear way possible. You'll learn everything you need to know about how to become AINative. What does a skill chain mean? What are skills mean? How do I think about context? How do I pipe things into clod? And how it all works together. I brought on my co-founder, Theo Taba. And Theo Taba leads the world around advising the best companies on the planet to become AINative. And in this episode, he spills the sauce. This is the stuff that he keeps for ourselves and our team. But I begged him to come on, he came on, and he does an absolute master class for how to become AINative and explains it in the most clear way I've ever seen on the Internet.
So enjoy the episode and I can't wait to see what you build.
I beg Theo Tabba to come on, because I think that there's such a huge opportunity in becoming AI native. And when everyone's saying this word, AI native this, AI native that, but how do you actually become AI native? So Theo is my number one call with this sort of stuff. So welcome Theo to the pod. By the end of this episode, what are people gonna get out of it?
**Theo Tabah** (1:55)
Nice to see you, Greg.
They're gonna get three things. One, how to become an AI native org. We all want to know. We're gonna talk about it today. Number two, our two workflows and action of how to turn this AI native system that we're gonna talk through into speed, that unlock signal from your customers, which is what this is all about. And Greg, you're gonna be our signal in this demo and these workflows. And then number three, we got to talk startup ideas, right? So let's talk about a few service-based startup ideas.
I think, you know, I'm actually gonna go out on a limb and say this is one of the hottest and fastest growing markets in our lifetime in terms of this space for startup ideas. So I don't want to come off as, you know, hyperbolic or overblowing anything, but I do think this is a huge opportunity for folks.
**Greg Isenberg** (2:40)
So by the end of the episode, people are gonna find out what does it mean to be AI native? What does that concretely mean?
And they're also gonna be able to figure out, okay, if I'm gonna be the one person, one billion dollar company, or I'm working in a company, how can I turn that organization into AI native? And then for the first time ever, you're actually gonna allow us to peek inside of some of the workflows that you are doing within the team that are things that used to cost millions of dollars to do, that you're doing by just becoming AI native. And you're gonna not hold back, you're gonna share all the sauce. Give me an example of some of the workflows you're gonna show just to give people the taste, and then let's get right into it.
**Theo Tabah** (3:27)
Sure. So here's a prototype, you see, this looks a lot like Spotify because that was the system we used. This prototype, cool feature idea, you can come and listen to music live with your friends. This is just a demo, of course. This is just one workflow that we're gonna show how to build this in minutes.
This is fully functional, code it up. And then also have it in a full testing suite so you can get direct signal from customers. This is just one of a lot of the things we're gonna talk about today. So that's one kind of hint of what we're gonna be showing.
**Greg Isenberg** (3:57)
And the trick there is, it's because you run an AI Native org that you were able to get such a high fidelity, beautiful prototype. And we'll get into that later. All right, let's go.
**Theo Tabah** (4:09)
Let's go. If you'll indulge me for a minute and everyone else, I want to just tell a very, very quick story that ends with our dear friend Greg here. So rewind. We're going back to the 70s. There's a four year old kid starts playing chess in North London, becomes a master at age 13, absolutely crushing it. Uses his chess winnings to buy a Commodore Amiga, which is an old computer, new at the time. Teaches himself to code, builds this amazing game, is a lead developer on this amazing game called, I believe it's called Theme Park. They sell over a million copies, makes money from that, goes to school for computer science. The person is becoming a little more apparent here, but goes to school for computer science, gets a job, runs a studio, building AI native games, goes back to school, does his PhD in cognitive neuroscience, is fascinated with the brain, wants to know how it works, starts a company, gets funded by none other than Peter Thiel, and they do some incredible stuff, man. They do some really incredible stuff. They fold every protein on the planet. They create an AI that beats the world's best Go player, which I think has an insane amount of combinations, more atoms, more combinations than atoms in the universe, something like that, and I think Google then buys them in 2014
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